Analyzing the Resonant Behavior of a Single Neuron at the Subthreshold Level.

David D Mao, Ariel R Yin, Yangfan Deng, Yao Lin, Ker-Jiun Wang, Ramana Vinjamuri
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引用次数: 0

Abstract

Different brain rhythms are often signatures of different behavioral and perceptual states of the brain. As resonance at neurons has a close connection with brain rhythms, characterizing and analyzing the neuronal resonance promote the understanding of brain rhythms and dynamical organization of the brain. In this paper, we study the resonant behaviors of both the four-dimensional (4D) Hodgkin-Huxley model and a reduced-order (2D) model at the subthreshold level. We analyze the frequency responses of a neuron and characterize resonance through investigating the neuron's transfer functions, frequency response functions, and root locus plots. The 2D model, especially, allows us to visualize the state space, perform phase plane analysis, and derive a closed-form formula for the resonant frequency. These analyses will be generalized to study resonance at the spiking regime and network level in future work.

在阈下水平分析单个神经元的共振行为。
不同的大脑节律通常是大脑不同行为和感知状态的标志。由于神经元共振与脑节律密切相关,表征和分析神经元共振有助于对脑节律和脑动力组织的认识。本文在亚阈值水平上研究了四维(4D) Hodgkin-Huxley模型和降阶(2D)模型的共振行为。我们分析了神经元的频率响应,并通过研究神经元的传递函数、频率响应函数和根轨迹图来表征共振。特别是二维模型,使我们能够可视化状态空间,进行相平面分析,并推导出谐振频率的封闭形式公式。这些分析将在今后的工作中推广到尖峰区和网络水平的共振研究中。
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